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2026-02-15·8 min read·Engineering

Building a High-Performance Vector Search Engine

How we built a hybrid search system combining BM25 and dense vector embeddings with custom reranking.

Vector search has become the standard for building semantic search engines. In this post, we discuss the challenges of scaling to millions of documents, implementing hybrid retrieval with BM25, and leveraging Cross-Encoder rerankers to maximize search relevance.